Data Science Director

Location: Columbus, OH, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, leveraging cutting-edge data science to power our global operations in consumer banking, investment banking, and asset management. As an Executive Director - Data Scientist in our Predictive Science team, you will lead a high-performing group of experts in Columbus, OH, driving transformative AI and machine learning solutions that enhance risk management, detect fraud in real-time, and personalize customer experiences. This role is pivotal in shaping the future of our data-driven strategies, ensuring we remain a leader in the financial services industry by turning complex data into actionable insights that support sustainable growth and client trust. In this executive position, you will spearhead initiatives that integrate advanced predictive models with JP Morgan's vast datasets, addressing challenges like market volatility prediction, credit risk assessment, and operational efficiency. You will collaborate closely with C-suite leaders, regulatory teams, and technology partners to deploy scalable solutions that comply with stringent financial regulations while delivering measurable business value. Your leadership will foster a collaborative environment where innovation thrives, mentoring talent to build robust models using technologies like Python, TensorFlow, and cloud-based platforms. Joining JP Morgan Chase means being part of a dynamic culture that values diversity, inclusion, and professional growth. This role offers the opportunity to influence enterprise-wide decisions, work on groundbreaking projects that impact millions of customers worldwide, and contribute to our commitment to responsible AI in finance. If you are a visionary data science leader passionate about the intersection of technology and finance, we invite you to bring your expertise to our expanding team in Columbus, OH.

Key Responsibilities

• Lead a team of data scientists in developing and deploying predictive models for risk assessment, fraud detection, and customer personalization in JP Morgan Chase's financial services operations
• Oversee the end-to-end lifecycle of data science projects, from data ingestion and cleaning to model validation and production deployment
• Collaborate with cross-functional teams including risk management, compliance, and business units to align data-driven insights with strategic goals
• Drive innovation in predictive science by exploring advanced AI/ML techniques to enhance decision-making in capital markets and consumer banking
• Ensure all models adhere to regulatory standards such as Basel III, Dodd-Frank, and internal JP Morgan governance policies
• Mentor and develop team members, fostering a culture of continuous learning and excellence in data science practices
• Present findings and recommendations to senior leadership, influencing key business decisions at JP Morgan Chase
• Manage project budgets, timelines, and resources to deliver scalable solutions that support the firm's global operations
• Stay abreast of emerging trends in financial technology and integrate them into team roadmaps
• Conduct code reviews, model audits, and performance evaluations to maintain high standards of accuracy and reliability

Required Qualifications

• Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• 10+ years of experience in data science, machine learning, or predictive analytics, with at least 5 years in a leadership role
• Proven track record of leading data science teams in delivering high-impact projects within the financial services industry
• Deep expertise in statistical modeling, machine learning algorithms, and big data technologies
• Strong understanding of financial regulations, risk management, and compliance in banking and capital markets
• Experience with cloud platforms (e.g., AWS, Azure) and scalable data infrastructure
• Excellent communication skills with the ability to present complex data insights to senior executives and stakeholders

Preferred Qualifications

• PhD in a quantitative discipline with publications in machine learning or financial modeling
• Prior experience at a major financial institution, such as leading predictive analytics for credit risk or fraud detection
• Certification in data science (e.g., AWS Certified Machine Learning or Google Professional Data Engineer)
• Background in developing AI-driven solutions for trading, investment banking, or consumer banking
• Experience mentoring and developing junior data scientists in a fast-paced corporate environment

Required Skills

• Machine Learning (supervised/unsupervised learning, deep learning)
• Statistical Analysis and Modeling (regression, time series, Bayesian methods)
• Programming Languages (Python, R, SQL)
• Big Data Technologies (Hadoop, Spark, Kafka)
• Cloud Computing (AWS, GCP, Azure)
• Data Visualization Tools (Tableau, Power BI)
• Financial Domain Knowledge (risk modeling, credit scoring, algorithmic trading)
• Leadership and Team Management
• Project Management (Agile/Scrum methodologies)
• Communication and Stakeholder Engagement
• Model Deployment and MLOps
• Regulatory Compliance in Finance
• Problem-Solving and Critical Thinking
• Data Governance and Ethics
• Version Control (Git) and Collaborative Development

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Relocation assistance for eligible positions in Columbus, OH

JP Morgan Chase is an equal opportunity employer.